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Set/space primitives for defining machine learning problems.

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spaces (api)

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Overview

spaces provides a set of set/space primitives for machine learning problems. Traits such as Space, and it's derivatives, may be used to define state/action spaces, for example. Mappings between different spaces may also be defined which simplify many common preprocessing tasks.

Installation

[dependencies]
spaces = "6.0"

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate and adhere to the angularjs commit message conventions (see here).

License

MIT

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